Phase 1: Data Collection & Cleaning
We gather and prepare high-quality data for modeling.
Deliverables
- Consolidated and cleaned dataset
- Data quality and integrity report
- Data governance guidelines
Actions
- Gather relevant data from various sources (internal databases, external APIs).
- Clean and preprocess data (handling missing values, normalization).
- Ensure compliance with data privacy regulations.
Outcome
- A high-quality dataset ready for modeling.
- Assurance that data is reliable and compliant.
Phase 4
Phase 2